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Amy S Farris

I have worked primarily on calculating shoreline position on sandy coasts usually from lidar data

Education and Certifications

  • Master's in Physical Oceanography from URI (1995)

    Bachelor's in Physics from Denison University (1992)

Science and Products

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Data visualization with scaled options applied

Digital Shoreline Analysis System (DSAS)

Computer Software for Calculating Shoreline Change (or positional change of a boundary over time) The Digital Shoreline Analysis System (DSAS) v5 software is an add-in to Esri ArcGIS desktop (10.4-10.7+) that enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. It provides an automated method for establishing measurement locations, performs rate...
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
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Digital Shoreline Analysis System (DSAS)

Computer Software for Calculating Shoreline Change (or positional change of a boundary over time) The Digital Shoreline Analysis System (DSAS) v5 software is an add-in to Esri ArcGIS desktop (10.4-10.7+) that enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. It provides an automated method for establishing measurement locations, performs rate...
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USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts.

During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. T
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Woods Hole Coastal and Marine Science Center

Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia

During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey (USGS) Co
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Massachusetts Shoreline Change Project, 2021 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.1, With Supplementary Intersects and Baselines for Massachusetts

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994
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Woods Hole Coastal and Marine Science Center

Mean High Water Shorelines for the Outer Cape of Massachusetts from Nauset Inlet to Race Point (1998-2005)

This data release contains mean high water (MHW) shorelines for the Outer Cape of Cape Cod, Massachusetts, from Nauset Inlet to Race Point. From 1998-2005, the U.S. Geological Survey surveyed 45 kilometers of coastline 111 times using a ground-based system called Surveying Wide-Area Shorelines (SWASH). The SWASH system used a six-wheeled amphibious all-terrain vehicle as a platform for an array of
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Woods Hole Coastal and Marine Science Center

Massachusetts Shoreline Change Project, 2018 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.0, With Supplementary Intersects and Baselines for Massachusetts

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of
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Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Marsh shorelines of the Massachusetts coast from 2013-14 topographic lidar data

The Massachusetts Office of Coastal Zone Management (CZM) launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the Massachusetts coast. Seventy-six maps were produced in 1997 depicting a statistical analysis of shoreline change on ocean-facing shorelines from the mid-1800s to 1978 using multiple data sources. In 2001, a 1994 shoreline was added. More recently, in cooper
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Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Digital Shoreline Analysis System (DSAS) version 5.1 user guide

The Digital Shoreline Analysis System version 5 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions. The Digital Shoreline Analysis System provides an automated method for establishing measurement locations, performs rate calculations, provides the statistical data necessary to as
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Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Identifying salt marsh shorelines from remotely sensed elevation data and imagery

Salt marshes are valuable ecosystems that are vulnerable to lateral erosion, submergence, and internal disintegration due to sea-level rise, storms, and sediment deficits. Because many salt marshes are losing area in response to these factors, it is important to monitor their lateral extent at high resolution over multiple timescales. In this study we describe two methods to calculate the location
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Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Digital Shoreline Analysis System (DSAS) version 5.0 user guide

OverviewThe Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Esri Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. DSAS version 5.0 (v5.0) was released in December 2018 and has been tested for compatibility with ArcGIS versions 10.4 and 10.5. It is supported
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data

The U.S. Geological Survey Coastal and Marine Geology Program uses three methods to derive a datum-based, mean high water shoreline on open-ocean coasts from light detection and ranging (lidar) elevation surveys. This work compared the shorelines produced by the three methods for two different surveys: one survey with simple beach morphology, and one survey with complex beach morphology. For the s
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery

The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution topographic and vis
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Woods Hole Coastal and Marine Science Center

Using topographic lidar data to delineate the North Carolina Shoreline

In North Carolina, shoreline change rates are an important component of the state's coastal management program. To enhance methods of measuring shoreline change, the NC Division of Coastal Management (DCM) is considering using mean high water (MHW) shorelines extracted from lidar data together with traditional wet/dry shorelines digitized from aerial photography. To test their compatibility, a wet
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Shoreline change as a proxy for subaerial beach volume change

It is difficult and expensive to calculate changes in sediment volume for large sections of sandy beaches. Shoreline change could be a useful proxy for volume change because it can be collected quickly and relatively easily over long distances. In this paper, we summarize several studies that find a high correlation between shoreline change and subaerial volume change. We also examine three new da
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Reversing storm hotspots on sandy beaches: Spatial and temporal characteristics

Coastal erosion hotspots are defined as sections of coast that exhibit significantly higher rates of erosion than adjacent areas. This paper describes the spatial and temporal characteristics of a recently identified type of coastal erosion hotspot, which forms in response to storms on uninterrupted sandy coasts largely free from human intervention. These are referred to here as reversing storm ho
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Woods Hole Coastal and Marine Science Center

Links between erosional hotspots and alongshore sediment transport

No abstract available.
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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Bottom currents and sediment transport in Long Island Sound: A modeling study

A high resolution (300-400 m grid spacing), process oriented modeling study was undertaken to elucidate the physical processes affecting the characteristics and distribution of sea-floor sedimentary environments in Long Island Sound. Simulations using idealized forcing and high-resolution bathymetry were performed using a three-dimensional circulation model ECOM (Blumberg and Mellor, 1987) and a s
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Woods Hole Coastal and Marine Science Center

Large-scale shoreline response to storms and fair weather

No abstract available.
By
Woods Hole Coastal and Marine Science Center

Digital Shoreline Analysis System

Digital Shoreline Analysis System version 5.0

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Natural Hazards, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center
Image showing MTL contour, marsh edge, and example of calculating the marsh edge
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Science and Products